Apple Inc.

Craig Lytle

Lubomir Dimitrov Bourdev

Sanjay Nair

Hervé Guihot

Brandon Sprague

Kedar Tatwawadi

Oren Rippel

Alexander G Anderson

A compression system trains a machine-learned compression model that includes components for an encoder and decoder. In one embodiment, the compression model is trained to receive parameter information on how a target frame should be encoded with respect to one or more encoding parameters, and encodes the target frame according to the respective values of the encoding parameters for the target frame. In particular, the encoder of the compression model includes at least an encoding system configured to encode a target frame and generate compressed code that can be transmitted by, for example, a sender system to a receiver system. The decoder of the compression model includes a decoding system trained in conjunction with the encoding system. The decoding system is configured to receive the compressed code for the target frame and reconstruct the target frame for the receiver system.

Parameter map for machine-learned video compression

Growing community of inventors

Los Altos Hills, CA, United States of America

Craig Lytle